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ESANN
2006
15 years 5 months ago
On the selection of hidden neurons with heuristic search strategies for approximation
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
Ignacio Barrio, Enrique Romero, Lluís A. Be...
163
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JGTOOLS
2006
199views more  JGTOOLS 2006»
15 years 3 months ago
Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU
We present a graphics hardware implementation of the tangent-plane algorithm for computing the kth-order Voronoi diagram of a set of point sites in image space. Correct and effici...
Ian Fischer, Craig Gotsman
135
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DILS
2007
Springer
15 years 9 months ago
Fast Approximate Duplicate Detection for 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
Björn Egert, Steffen Neumann, Alexander Hinne...
143
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EUROPAR
2007
Springer
15 years 7 months ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
130
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SMI
2006
IEEE
122views Image Analysis» more  SMI 2006»
15 years 9 months ago
A Constrained Least Squares Approach to Interactive Mesh Deformation
In this paper, we propose a constrained least squares approach for stably computing Laplacian deformation with strict positional constraints. In the existing work on Laplacian def...
Yasuhiro Yoshioka, Hiroshi Masuda, Yoshiyuki Furuk...